Triple
T10845542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankee Clipper |
E255999
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Charles Conrad Jr. |
E314383
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charles Conrad Jr. | Statement: [Yankee Clipper, commander, Charles Conrad Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Conrad Jr. Context triple: [Yankee Clipper, commander, Charles Conrad Jr.]
-
A.
Charles Conrad
chosen
Charles "Pete" Conrad was an American astronaut, naval officer, and the third person to walk on the Moon.
-
B.
Stuart A. Roosa
Stuart A. Roosa was a NASA astronaut and command module pilot on Apollo 14, known for orbiting the Moon while his crewmates explored the lunar surface.
-
C.
Edward J. White
Edward J. White was an American film producer known for his work on mid-20th-century Westerns and genre pictures.
-
D.
Edward D. White
Edward D. White was the ninth Chief Justice of the United States, known for his conservative jurisprudence and influential role on the Supreme Court in the early 20th century.
-
E.
Fred Haise
Fred Haise is an American astronaut and test pilot best known as the lunar module pilot on the ill-fated Apollo 13 mission.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d132e081909c977b3dc4110ca4 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e54263e930819099524917506c7eab |
completed | April 19, 2026, 9 p.m. |
Created at: April 8, 2026, 9:19 p.m.